A dynamic perspective: local interactions driving the spread of social networks

Song, Junjie; Jamous, Naoum; Turowski, Klaus

doi:10.1080/17517575.2018.1499133

Cited by 12 publications

(1 citation statement)

References 28 publications

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“…In the work by songDynamicPerspectiveLocal2018, the authors took a micro standpoint to quantitatively verify the extent to which local interactions affect the expansion of dynamic social networks. They established a pragmatic analytical framework to capture the underlying functioning of local interactions and produced findings on seven distinct marketing campaigns in which the real-world virtual communities offer intact time-series connections (Song, Jamous, and Turowski 2018).…”

Section: Industry 40 and Big Data Innovationsmentioning

confidence: 99%

Industry 4.0 and big data innovations

Tan

Chaudhry

2018

Enterprise Information Systems

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Section: Industry 40 and Big Data Innovationsmentioning

confidence: 99%

Industry 4.0 and big data innovations

Tan

Chaudhry

2018

Enterprise Information Systems

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Online social networks security and privacy: comprehensive review and analysis

Jain

Sahoo

Kaubiyal

2021

Complex Intell. Syst.

146

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With fast-growing technology, online social networks (OSNs) have exploded in popularity over the past few years. The pivotal reason behind this phenomenon happens to be the ability of OSNs to provide a platform for users to connect with their family, friends, and colleagues. The information shared in social network and media spreads very fast, almost instantaneously which makes it attractive for attackers to gain information. Secrecy and surety of OSNs need to be inquired from various positions. There are numerous security and privacy issues related to the user’s shared information especially when a user uploads personal content such as photos, videos, and audios. The attacker can maliciously use shared information for illegitimate purposes. The risks are even higher if children are targeted. To address these issues, this paper presents a thorough review of different security and privacy threats and existing solutions that can provide security to social network users. We have also discussed OSN attacks on various OSN web applications by citing some statistics reports. In addition to this, we have discussed numerous defensive approaches to OSN security. Finally, this survey discusses open issues, challenges, and relevant security guidelines to achieve trustworthiness in online social networks.

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A recommender model based on strong and weak social Ties: A Long-tail distribution perspective

2021

Expert Systems with Applications

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A dynamic perspective: local interactions driving the spread of social networks

Cited by 12 publications

References 28 publications

Industry 4.0 and big data innovations

Industry 4.0 and big data innovations

Online social networks security and privacy: comprehensive review and analysis

A recommender model based on strong and weak social Ties: A Long-tail distribution perspective

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